Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that push the boundaries of computational possibility in our state-of-the-art Austin facility.
We offer competitive compensation, cutting-edge resources, and a culture where your breakthrough ideas become industry standards. Your work will directly impact fields from climate modeling to personalized medicine.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks
- Develop novel quantum neural network architectures for 2026-scale applications
- Collaborate with cross-disciplinary teams to translate theoretical models into deployable solutions
- Lead optimization of quantum algorithms for real-world enterprise problems
- Author peer-reviewed publications and contribute to open-source quantum AI libraries
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, or PennyLane)
- Proven track record in publishing quantum AI research (arXiv/IEEE)
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with quantum error correction protocols and fault-tolerant systems
- Demonstrated ability to translate complex quantum concepts into practical applications
- Strong background in linear algebra, probability theory, and information theory